[HTML][HTML] Composite adaptation and learning for robot control: A survey
K Guo, Y Pan - Annual Reviews in Control, 2023 - Elsevier
Composite adaptation and learning techniques were initially proposed for improving
parameter convergence in adaptive control and have generated considerable research …
parameter convergence in adaptive control and have generated considerable research …
Boundary adaptive fault-tolerant control for a flexible Timoshenko arm with backlash-like hysteresis
This study is concerned with a novel adaptive fault-tolerant control design for a flexible
Timoshenko arm considering the effects of actuator failures, backlash-like hysteresis, and …
Timoshenko arm considering the effects of actuator failures, backlash-like hysteresis, and …
Adaptive tracking control of hydraulic systems with improved parameter convergence
K Guo, M Li, W Shi, Y Pan - IEEE Transactions on Industrial …, 2021 - ieeexplore.ieee.org
Most recent studies on adaptive hydraulic tracking control focus on the trajectory tracking
performance while the parameter convergence property is often unsatisfying. This article …
performance while the parameter convergence property is often unsatisfying. This article …
Design, modeling and control of a reconfigurable variable stiffness actuator
Y Xu, K Guo, J Sun, J Li - Mechanical Systems and Signal Processing, 2021 - Elsevier
This work presents a reconfigurable variable stiffness actuator (RVSA) based on a rotational
spring mechanism (torsional spring) and a group of specially designed symmetrical S …
spring mechanism (torsional spring) and a group of specially designed symmetrical S …
Fuzzy adaptive trajectory tracking control of work-class ROVs considering thruster dynamics
M Li, C Yu, X Zhang, C Liu, L Lian - Ocean Engineering, 2023 - Elsevier
Work-class remotely operated vehicles (ROVs) are widely used in oceanic observation and
underwater operation, which are driven by hydraulic power. A fuzzy adaptive controller …
underwater operation, which are driven by hydraulic power. A fuzzy adaptive controller …
Data-driven human-robot interaction without velocity measurement using off-policy reinforcement learning
In this paper, we present a novel data-driven design method for the human-robot interaction
(HRI) system, where a given task is achieved by cooperation between the human and the …
(HRI) system, where a given task is achieved by cooperation between the human and the …
Actor–critic learning based coordinated control for a dual-arm robot with prescribed performance and unknown backlash-like hysteresis
In this paper, we focus on the tracking problem of a dual-arm robot (DAR) with prescribed
performance and unknown input backlash-like hysteresis. Considering this problem …
performance and unknown input backlash-like hysteresis. Considering this problem …
Composite fuzzy voltage-based command-filtered learning control of electrically-driven robots with input delay using disturbance observer
This paper presents an improved composite fuzzy learning control for uncertain electrically-
driven robot manipulators with input delay and the external disturbances. In the framework of …
driven robot manipulators with input delay and the external disturbances. In the framework of …
Variable pitch active disturbance rejection control of wind turbines based on BP neural network PID
H Ren, B Hou, G Zhou, L Shen, C Wei, Q Li - IEEE Access, 2020 - ieeexplore.ieee.org
When wind speeds are above the rated speed of variable speed variable pitch wind
turbines, pitch angles are changed to keep output powers and rotor speeds at their rated …
turbines, pitch angles are changed to keep output powers and rotor speeds at their rated …
Event-based adaptive neural network asymptotic tracking control for a class of nonlinear systems
In this work, an event-triggered adaptive neural network asymptotic tracking control scheme
is developed for non-lower-triangular nonlinear systems by using the command-filtered …
is developed for non-lower-triangular nonlinear systems by using the command-filtered …